Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Data, Analytics & AI
Management Level Senior Associate
& Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
and Summary

• Architect and implement and deploy agentic AI solutions on Azure, ensuring scalability, security, and performance.
• Manage a team of AI engineers , fostering collaboration and technical excellence.
• Oversee development and integration of enterprise applications using .NET and Azure services.
• Experience in building autonomous AI agents, LLM-based solutions, RAG Pipeline and orchestration frameworks using AI Foundry, Semantic kernel and Azure services.

Responsibilities:

• Hands-on experience with C#, .NET Core, and integration with Azure services.
• Excellent stakeholder management, presentation, and documentation skills
• Strong knowledge of Azure AI services, Azure Machine Learning, Azure Data Factory, and Azure DevOps..

Mandatory skill sets:Azure & AI , Data Science using python or App Integration / Development using .net
Azure & AI , Data Science using python or App Integration / Development using .net
Must HaveAzure Foundry, .NetAzure Foundry, .Net
Preferred Skill Sets
Deptho Architect and implement and deploy agentic AI solutions on Azure, ensuring scalability, security, and performance.

• Manage a team of AI engineers , fostering collaboration and technical excellence.
• Oversee development and integration of enterprise applications using .NET and Azure services.
• Experience in building autonomous AI agents, LLM-based solutions, RAG Pipeline and orchestration frameworks using AI Foundry, Semantic kernel and Azure services.
• Hands-on experience with C#, .NET Core, and integration with Azure services.
• Excellent stakeholder management, presentation, and documentation skills
• Strong knowledge of Azure AI services, Azure Machine Learning, Azure Data Factory, and Azure DevOps..o Experience in building autonomous AI agents, LLM-based solutions, RAG pipeline and orchestration frameworks using AI Foundry, Semantic kernel and Azure services.
• Hands-on experience with C#, .NET Core, and integration with Azure services.
• Understanding with AI framework like Langchain and Langgraph
• Agentic prototype like A2A, MCP
• Strong knowledge of Azure AI services, Azure Machine Learning, Azure Data Factory, and Azure DevOps..

Years of Experience Required:10 + years, preferably 12+ years3+ years and up to 8 years
Education Qualification:Btech
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Microsoft Azure AI foundry
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date

Skills Required